Role overview

UniversalAGI is building foundation AI models that learn physics directly from data to transform engineering simulation—a field where traditional tools still rely on decades-old numerical methods. As a founding Aerospace Simulation Engineer, you will work hands-on with the CEO and founding team to develop AI models that accelerate aerodynamics and thermal simulations across the full aerospace flow spectrum, from subsonic to hypersonic regimes.

Key responsibilities

Design, preprocess, mesh, and post-process aerodynamics and thermal simulations for aerospace configurations at scale and speed.
Create systematic approaches to design, mesh, and simulate hundreds or thousands of configurations across different flow regimes, building data pipelines that train the foundation models.
Work directly with the AI research team on physics simulation problems, bridging traditional computational fluid dynamics with machine learning methodologies.
Collaborate with clients to solve their problems, define benchmark datasets, establish validation criteria, and develop workflows that demonstrate AI model accuracy against traditional simulation.
Advise the AI research team on critical aerospace CFD concepts including compressible and incompressible flow, turbulence modeling, conjugate heat transfer, shock interactions, and mesh design tradeoffs.
Lead technical conversations with customers and internal teams, translating between aerospace CFD and AI domains.
Generate high-quality simulation data at scale, where each simulation directly improves the foundation models.

Requirements

Three to five or more years of hands-on industry experience running aerospace CFD simulations, including preprocessing, simulation, post-processing, and design iteration.
Strong proficiency with Star-CCM+ and OpenFOAM as primary solvers.
Demonstrated experience across the full flow regime spectrum: subsonic, transonic, supersonic, and hypersonic flows.
Solid background in heat transfer, thermal analysis and modeling, and conjugate heat transfer.
Deep understanding of fluid mechanics, compressible and incompressible flow, meshing, boundary conditions, and numerical methods.
Strong communication skills capable of bridging customers, engineering, and research teams, with exceptional execution velocity and attention to detail.
Comfort working in high-intensity, fast-paced startup environments with evolving priorities and tight deadlines.

What makes this role worth considering

You will work in-person five days a week in San Francisco with a 25-person team of researchers and engineers backed by prominent investors and advisors including former Google CEO Eric Schmidt, Databricks founder Ion Stoica, and Turing Award winner David Patterson. This is a founding role offering significant equity upside alongside competitive compensation, direct influence over company strategy, and the opportunity to solve industrial problems with immediate real-world impact across defense and Fortune 500 organizations already deploying the technology.